1. Molecular Diagnostic of Solid Tumor Using a Next Generation Sequencing Custom-Designed Multi-Gene Panel
- Author
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Thais Maloberti, Chiara Maria Argento, Giovanni Tallini, Annalisa Pession, Antonio De Leo, Viviana Sanza, Michela Visani, Giorgia Acquaviva, Dario de Biase, De Biase D., Acquaviva G., Visani M., Sanza V., Argento C.M., De Leo A., Maloberti T., Pession A., and Tallini G.
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0301 basic medicine ,Thyroid nodules ,mutational analysis ,Mutational analysi ,Clinical Biochemistry ,Computational biology ,Biology ,Article ,DNA sequencing ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Solid tumor ,Genotyping ,next generation sequencing ,lcsh:R5-920 ,Massive parallel sequencing ,Melanoma ,multi-gene custom panel ,medicine.disease ,Multi gene ,Molecular analysis ,030104 developmental biology ,030220 oncology & carcinogenesis ,solid tumor ,lcsh:Medicine (General) - Abstract
Next generation sequencing (NGS) allows parallel sequencing of multiple genes at a very high depth of coverage. The need to analyze a variety of targets for diagnostic/prognostic/predictive purposes requires multi-gene characterization. Multi-gene panels are becoming standard approaches for the molecular analysis of solid lesions. We report a custom-designed 128 multi-gene panel engineered to cover the relevant targets in 22 oncogene/oncosuppressor genes for the analysis of the solid tumors most frequently subjected to routine genotyping. A total of 1695 solid tumors were analyzed for panel validation. The analytical sensitivity is 5%. Analytical validation: (i) Accuracy: sequencing results obtained using the multi-gene panel are concordant using two different NGS platforms and single-gene approach sequencing (100% of 83 cases), (ii) Precision: consistent results are obtained in the samples analyzed twice with the same platform (100% of 20 cases). Clinical validation: the frequency of mutations identified in different tumor types is consistent with the published literature. This custom-designed multi-gene panel allows to analyze with high sensitivity and throughput 22 oncogenes/oncosuppressor genes involved in diagnostic/prognostic/predictive characterization of central nervous system tumors, non-small-cell lung carcinomas, colorectal carcinomas, thyroid nodules, pancreatic lesions, melanoma, oral squamous carcinomas and gastrointestinal stromal tumors.
- Published
- 2020
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